Economic indicators selection for crime rates forecasting using cooperative feature selection
, 2013 Features selection in multivariate forecasting model is very important to ensure that the model is accurate. The purpose of this study is to apply the Cooperative Feature Selection method for features selection.
Effa Afrina
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Immigration and Crime in Early 20th Century America [PDF]
Research on crime in the late 20th century has consistently shown that immigrants have lower rates of involvement in criminal activity than natives. We find that a century ago immigrants may have been slightly more likely than natives to be involved in ...
Anne Morrison Piehl, Carolyn Moehling
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Assessment of Crime Forecasting Accuracy for Deployment of Police
, 2018 Crime forecasting is a new area of research, following upon the success of crime mapping for support of tactical deployment of police resources. The major question investigated in this paper is whether it is possible to accurately forecast crime one ...
Wilpen Gorr (5360765) +2 more
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The when and where of an emerging crime type: The example of metal theft from the railway network of Great Britain [PDF]
, 2014 Metal theft has become an increasingly common crime in recent years, but lack of data has limited research into it. The present study used police-recorded crime data to study the spatial and temporal concentration of metal theft from the railway network ...
Ashby, MPJ +7 more
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A systematic review on CNN-YOLO techniques for face and weapon detection in crime prevention
Discover ComputingThe increase in criminal activities has led to an increased focus on crime forecasting and proactive measures using advanced technologies to detect crime activity before the crime has to be committed or suspected.
P. Shanthi, V. Manjula
doaj +1 more source
Global–Local Modulated Prototype Attention Network for Spatio-Temporal Crime Prediction
Applied SciencesAccurate spatial–temporal crime prediction is a critical component of proactive public safety governance, yet it remains challenging due to complex dependency structures and severe data sparsity in real-world crime datasets.
Yuchen Zhao +4 more
doaj +1 more source
The Blackshaw Chord. Crime fiction, literary fiction: why the demarcation?
, 2013 My thesis is in two parts: Part 1 a novel, Part 2 a critical rationale. The novel examines abuse in a range of manifestations – parental power; alcohol; the press; corporate power – all of which combine to perpetrate a catalogue of abuse against my ...
Jones, Margaret Anne
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Crime Prediction and Forecasting Using MLP & K-Means Clustering Algorithm [PDF]
The most significant and pervasive issue in our society is crime. Rising crime rates contribute to an unbalanced societal makeup within a nation.
Yamunathangam D., Bharath P., Harshini M., Mehaa P.
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Analytical Capabilities of Statistical Methodology for Assessing Threats to Economic Security
Статистика и экономикаSubject. Reduction of threats to economic security based on the construction of multifactorial statistical models that quantify the impact of factors on the level of economic crime, in particular, on the scale of material damage from economic crime ...
D. V. Dianov, E. I. Kuznetsova
doaj +1 more source
Does Predictive Policing Lead to Biased Arrests? Results From a Randomized Controlled Trial
Statistics and Public Policy, 2018 Racial bias in predictive policing algorithms has been the focus of a number of recent news articles, statements of concern by several national organizations (e.g., the ACLU and NAACP), and simulation-based research.
P. Jeffrey Brantingham +2 more
doaj +1 more source